bed350f5e5
Push all MaxxViT weights to HF hub, cleanup impl, add feature map extraction support and prompote to 'std' architecture. Fix norm head for proper embedding / feat map output. Add new in12k + ft 1k weights.
1 year ago
6e5553da5f
Add ConvNeXt-V2 support (model additions and weights) ( #1614 )
...
* Add ConvNeXt-V2 support (model additions and weights)
* ConvNeXt-V2 weights on HF Hub, tweaking some tests
* Update README, fixing convnextv2 tests
2 years ago
35fb00c779
Add flexivit to non-std tests list
2 years ago
d5e7d6b27e
Merge remote-tracking branch 'origin/main' into refactor-imports
2 years ago
98047ef5e3
Add EVA FT results, hopefully fix BEiT test failures
2 years ago
927f031293
Major module / path restructure, timm.models.layers -> timm.layers, add _ prefix to all non model modules in timm.models
2 years ago
0dadb4a6e9
Initial multi-weight support, handled so old pretraing config handling co-exists with new tags.
2 years ago
da6f8f5a40
Fix beitv2 tests
2 years ago
cac0a4570a
More test fixes, pool size for 256x256 maxvit models
2 years ago
8c9696c9df
More model and test fixes
2 years ago
f332fc2db7
Fix some test failures, torchscript issues
2 years ago
29afe79c8b
Attempt to fix unit tests by removing subset of tests on mac runner
2 years ago
c0211b0bf7
Swin-V2 test fixes, typo
2 years ago
39b725e1c9
Fix tests for rank-4 output where feature channels dim is -1 (3) and not 1
2 years ago
2fec08e923
Add Sequencer to non std filters
2 years ago
b049a5c5c6
Merge remote-tracking branch 'origin/master' into norm_norm_norm
2 years ago
372ad5fa0d
Significant model refactor and additions:
...
* All models updated with revised foward_features / forward_head interface
* Vision transformer and MLP based models consistently output sequence from forward_features (pooling or token selection considered part of 'head')
* WIP param grouping interface to allow consistent grouping of parameters for layer-wise decay across all model types
* Add gradient checkpointing support to a significant % of models, especially popular architectures
* Formatting and interface consistency improvements across models
* layer-wise LR decay impl part of optimizer factory w/ scale support in scheduler
* Poolformer and Volo architectures added
2 years ago
1420c118df
Missed comitting outstanding changes to default_cfg keys and test exclusions for swin v2
2 years ago
5f81d4de23
Move DeiT to own file, vit getting crowded. Working towards fixing #1029 , make pooling interface for transformers and mlp closer to convnets. Still working through some details...
2 years ago
95cfc9b3e8
Merge remote-tracking branch 'origin/master' into norm_norm_norm
2 years ago
abc9ba2544
Transitioning default_cfg -> pretrained_cfg. Improving handling of pretrained_cfg source (HF-Hub, files, timm config, etc). Checkpoint handling tweaks.
2 years ago
010b486590
Add Dino pretrained weights (no head) for vit models. Add support to tests and helpers for models w/ no classifier (num_classes=0 in pretrained cfg)
3 years ago
a8d103e18b
Giant/gigantic vits snuck through in a test a broke GitHub test runner, add filter
3 years ago
ef72ad4177
Extra vit_huge model likely to cause test issue (non in21k variant), adding to filters
3 years ago
e967c72875
Update REAMDE.md. Sneak in g/G (giant / gigantic?) ViT defs from scaling paper
3 years ago
4df51f3932
Add lcnet_100 and mnasnet_small weights
3 years ago
5ccf682a8f
Remove deprecated bn-tf train arg and create_model handler. Add evos/evob models back into fx test filter until norm_norm_norm branch merged.
3 years ago
25d1526092
Update pytest for GitHub runner to use --forked with xdist, hopefully eliminate memory buildup
3 years ago
cd059cbe9c
Add FX backward tests back
3 years ago
58ffa2bfb7
Update pytest for GitHub runner to use --forked with xdist, hopefully eliminate memory buildup
3 years ago
f7d210d759
Remove evonorm models from FX tests
3 years ago
f83b0b01e3
Would like to pass GitHub tests again disabling both FX feature extract backward and torchscript tests
3 years ago
147e1059a8
Remove FX backward test from GitHub actions runs for now.
3 years ago
878bee1d5e
Add patch8 vit model to FX exclusion filter
3 years ago
ce76a810c2
New FX test strategy, filter based on param count
3 years ago
1e51c2d02e
More FX test tweaks
3 years ago
90448031ea
Filter more large models from FX tests
3 years ago
8dc269c303
Filter more models for FX tests
3 years ago
2482652027
Add nfnet_f2 to FX test exclusion
3 years ago
05092e2fbe
Add more models to FX filter
3 years ago
3819bef93e
Add FX test exclusion since it uses more ram and barfs on GitHub actions. Will take a few iterations to include needed models :(
3 years ago
9b3519545d
Attempt to reduce memory footprint of FX tests for GitHub actions runs
3 years ago
bdd3dff0ca
beit_large models killing GitHub actions test, filter out
3 years ago
f2006b2437
Cleanup qkv_bias cat in beit model so it can be traced
3 years ago
1076a65df1
Minor post FX merge cleanup
3 years ago
0262a0e8e1
fx ready for review
3 years ago
d2994016e9
Add try/except guards
3 years ago
b25ff96768
wip - pre-rebase
3 years ago
a6c24b936b
Tests to enforce all models FX traceable
3 years ago
6d2acec1bb
Fix ordering of tests
3 years ago
Ross Wightman
Ross Wightman
okojoalg
Alexander Soare